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» Runtime Prediction of Real Programs on Real Machines
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RTAS
2005
IEEE
15 years 9 months ago
Bounding Worst-Case Data Cache Behavior by Analytically Deriving Cache Reference Patterns
While caches have become invaluable for higher-end architectures due to their ability to hide, in part, the gap between processor speed and memory access times, caches (and partic...
Harini Ramaprasad, Frank Mueller
ICML
2009
IEEE
16 years 4 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
ICML
2008
IEEE
16 years 4 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
ICML
2006
IEEE
16 years 4 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
BROADNETS
2006
IEEE
15 years 10 months ago
XIOPerf: A Tool for Evaluating Network Protocols
— The nature of Grid and distributed computing implies communication between heterogeneous systems over a wide and ever-changing variety of network environments. Often large amou...
John Bresnahan, Rajkumar Kettimuthu, Ian T. Foster